Interconnected porous holes balance ear canal pressure and absorb sound, reducing occlusion effects without raising acoustic noise.
Using 3D ear canal models, this case predicts component placement and size impact before upgrades, reducing uncertainty and analysis time.
Combines low and high viscosity materials to capture medial details and lateral fit for precise digital models.
A generic ear device uses a bendable arm to press external electrodes against skin, resolving customization bottlenecks in bioelectrical signal detection.
Segmented first and second shields provide flexible optical identification, eliminating costly colored type plate inventory.
Automated ear impression classification uses shape context analysis to label anatomical regions on 3D models without manual intervention.
A customized ear tip uses a parameterized sealing structure to match individual ear canal geometry.
A graphics facility creates a 3D virtual head model to align hearing devices for realistic user visualization.
Segmenting the housing and receiver resolves the trade-off between wearable stability and sound conductivity in behind-the-ear hearing aids.
An in-canal ear tip integrates electrically conductive elements and a segmented umbrella to capture bioelectrical signals.
An acoustically transparent thin film captures within a frame to prevent wax and debris entry into hearing aid transducers, preserving sound quality.
Flexible eartip portions move radially and axially to relieve ear canal wall pressure.
A computer-based system calculates forces and stresses to revise a three-dimensional model of hearing aid shells containing flexible soft parts.
A perceptive model adapts hearing aids using audiogram data for direct patient delivery.
Defining a trimming surface to trim the shell creates large vent volumes that reduce occlusion effects without increasing design complexity.
An elastic impression pad featuring a hollowed dome and axially aligned scallops on its inner surface.
Computerized method generates and positions wax guards on ear impressions using adaptive algorithms to resolve manual trial-and-error inefficiencies.